Skip to content

Official Code for "Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation" accepted at MICCAI2024

Notifications You must be signed in to change notification settings

philsaurabh/UDCD_MICCAI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

UDCD_MICCAI

For the article accepted at MICCAI2024. Here is the link to the paper.

Installation

Necessary Dependencies

  • Python> 3.7
  • PyTorch >= 1.7.0
  • torchvision
  • numpy
  • pandas
  • scipy
  • sklearn

Usage

To run it

python3 train.py

Contact

please contact saurabh_2021cs30@iitp.ac.in for any discrepancy.

Note

The code provided is for basic implementation using generic way to introduce uncertainty aware contrastive learning and for one dataset. For the full implementation and settings, feel free to mail.

Authors:

  • Saurabh Sharma
  • Atul Kumar
  • Joydeep Chandra

About

Official Code for "Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation" accepted at MICCAI2024

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages